A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform

Peker, Musa

doi:10.1016/j.cmpb.2016.01.001

Cited by 46 publications

(18 citation statements)

References 32 publications

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“…The number of iterations is then confirmed based on the complexity of the experiments. As aforementioned, the purpose of Taguchi Method to design an experiment is to reduce the effect of the operator that cannot be controlled with a least amount of experiments [47]. Taguchi Method is a powerful technique for supplying the best set among different stages of various parameters.…”

Section: Taguchi Methodmentioning

confidence: 99%

“…This arrays are essentially predefined matrices, including control parameters and number of experiments. The purpose of the Taguchi Method is to design an experiment that reduces the effect of the operator that cannot be controlled with a least amount of experiments [46,47]. The selection of an appropriate orthogonal array is mainly based on the number of control parameters and corresponding levels.…”

Section: Taguchi Methodmentioning

confidence: 99%

“…The more numbers of control parameters yield the higher the numbers after "L". Design of experiments is performed by employing the defined orthogonal array [47]. The iterations of experiments can be performed once the OA is carefully chosen.…”

Section: Taguchi Methodmentioning

confidence: 99%

See 2 more Smart Citations

A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing

Karim

Güzel

Tolun

et al. 2018

Mathematical Problems in Engineering

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Deep autoencoder neural networks have been widely used in several image classification and recognition problems, including hand-writing recognition, medical imaging, and face recognition. The overall performance of deep autoencoder neural networks mainly depends on the number of parameters used, structure of neural networks, and the compatibility of the transfer functions. However, an inappropriate structure design can cause a reduction in the performance of deep autoencoder neural networks. A novel framework, which primarily integrates the Taguchi Method to a deep autoencoder based system without considering to modify the overall structure of the network, is presented. Several experiments are performed using various data sets from different fields, i.e., network security and medicine. The results show that the proposed method is more robust than some of the well-known methods in the literature as most of the time our method performed better. Therefore, the results are quite encouraging and verified the overall performance of the proposed framework.

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Section: Taguchi Methodmentioning

confidence: 99%

Section: Taguchi Methodmentioning

confidence: 99%

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A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing

Karim

Güzel

Tolun

et al. 2018

Mathematical Problems in Engineering

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“…The process of discriminating sleep stages visually is called sleep scoring or sleep staging. Normally, it is carried out visually by experts according to either Rechtschaffen or Kales (R&K) [50] or the American Academy of Sleep Medicine (AASM) [9] guidelines. Based on the R&K guidelines, sleep recordings are divided into seven different stages namely: Awake (AWA), S1, S2, S3, S4, REM and movement time.…”

Section: Introductionmentioning

confidence: 99%

EEG sleep stages identification based on weighted undirected complex networks

Diykh

Abdulla

2020

Computer Methods and Programs in Biomedicine

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“…Caldwell et al (2016) indicated that living was a key factor in modern people maintaining life and health, and quality of life should be extremely emphasized as positive development of lifestyles would promote quality of life. Peker (2016) revealed that quality of life related to health was emphasized in medical environment, as an individual might be affected physiologically, psychologically, and socially due to accidents, diseases, or treatment. Cheng (2015) therefore considered that good sleep quality was essential in individual health and life.…”

Section: Quality Of Lifementioning

confidence: 99%

To Explore the Impact of Medical Education on Sleep Quality toward Quality of Life

Luo

Xü

2018

EURASIA J MATH SCI T

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Sleep is the basic physiological needs of human beings, while sleep disorder commonly occur in the public. Bad sleep quality would result in bad work efficiency and low quality of life. Insomnia problem is regarded as a disease seriously affecting quality of life in current industrial and commercial societies. Medical education allows students presenting further cognition of self-health concepts and people understanding that proper physical activity could enhance citizens' physical fitness, reduce the occurrence of chronic diseases, and largely help the expenditure of social medical expenses. Apparently, medical education is primary for human health. With experimental design, total 200 students in four classes of the University in Shanghai, as the research object, are proceeded 16-week (3hrs per week for total 48 hours) experimental teaching. The research results reveal the significant correlation between 1.medical education and sleep quality, 2.sleep quality and quality of life, and 3.medical education and quality of life. According to the results and findings, practical suggestions are proposed in this study, expecting to reinforce relevant medical education and draft lifestyles to enhance the sleep quality and quality of life.

show abstract

A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform

Cited by 46 publications

References 32 publications

A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing

A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing

EEG sleep stages identification based on weighted undirected complex networks

To Explore the Impact of Medical Education on Sleep Quality toward Quality of Life

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